Data · dataset · 2025
PRESCRIP-TEC client-related factors (CRF) for cervical cancer screening
Listed in IISH Dataverse
The Prevention and Screening Innovation Project towards Elimination of Cervical Cancer (PRESCRIP-TEC) research project contributes to the evidence-base for the WHO strategy to eliminate cervical cancer as a public health problem.
Description
The project implements an innovative approach in cervical cancer screening, including direct treatment and follow-up, for women in resource-poor or hard-to-reach settings, by improving availability, accessibility, acceptability and quality of services.
PRESCRIP-TEC focuses on implementation research into secondary prevention of cervical cancer in different settings in four countries over three continents: Bangladesh and India in Asia, Uganda in Africa, and Slovakia in Eastern Europe. The project builds on interventions with promising or proven effectiveness including cost-effectiveness: - hrHPV based screening is cost-effective when adequate coverage is reached. - Self-swab for hrHPV leads to higher uptake of screening compared to sampling by clinicians. - Visual inspection with acetic acid (VIA) is an approved screening method by the WHO and is part of the national cervical cancer prevention programme in Uganda, Bangladesh, India; in India AI to support VIA screening was shown to be effective in detecting VIA positive lesions.
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The dataset concerns the following research question per target country: Which are the client-related factors for accessibility and acceptability and adherence to the enhanced screening protocol?
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2FDLXOZB ↗
landing page · from datasets iisg amsterdam
- DOI doi.org/10.34894/dlxozb ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 1
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2FDLXO… ↗
metadata API · from datasets iisg amsterdam
Topics
- Stated by source
- Medicine, Health and Life Sciences
- From keywords
- Life Sciences · Medicine & Health
- Inferred from text
- Cancer 75%
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/DLXOZB | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[disease].local:disease:cancer | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].dataverse_subject:medicine-health-and-life-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:medicine-health | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |